tl;dr Today, we are open-sourcing a long-awaited GUI for Metaflow. The Metaflow GUI allows data scientists to monitor their workflows in real-time, track experiments, and see detailed logs and results for every executed task. The GUI can be extended with plugins, allowing the community to build integrations to other systems, custom visualizations, and embed upcoming features of Metaflow directly i
Stranger Things imagery showcasing the inspiration for the Hawkins Design Systemby Hawkins team member Joshua Godi; with cover art from Martin Bekerman and additional imagery from Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more. Hawkins is the namesake t
Netflix is known for its loosely coupled and highly scalable microservice architecture. Independent services allow for evolving at different paces and scaling independently. Yet they add complexity for use cases that span multiple services. Rather than exposing 100s of microservices to UI developers, Netflix offers a unified API aggregation layer at the edge. UI developers love the simplicity of w
Andreas Andreakis, Ioannis Papapanagiotou OverviewChange-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional
By Ammar Khaku IntroductionIn a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. These datasets can represent anything from service configuration to the results of a batch job, are often needed in-memory to optimize access and must be updated as they change over time. One example displaying the need for d
by Emily Burns, Asher Feldman, Rob Fletcher, Tomas Lin, Justin Reynolds, Chris Sanden and Rob Zienert We’re pleased to announce the release of our O’Reilly report, Continuous Delivery with Spinnaker. The report is available to download for free on the Spinnaker website. ( Pdf | Epub | Mobi ) About The ReportAt Netflix, we’ve built and use Spinnaker as a platform for continuous integration and deli
(Please note that this article is a localized (to Japanese) version of a corresponding tech blog article in the English language) Netflixでは、2015年9月の日本における配信サービス開始時から日本語字幕を提供しています。 今回のブログでは、日本語字幕提供に至るまでの技術的な取り組みについて説明します。 字幕ソースファイルの仕様、字幕ソースファイルからNetflix配信用字幕への変換モデル、Netflixにおける日本語字幕の納品モデルなどを取り上げます。さらに、W3C字幕規格Timed Text Markup Language 2 (TTML2)導入に向けた対応についても触れます。 2014年の終盤にかけて、Netflixでは2015年9月に予定していた日
You log in to a Linux server with a performance issue: what do you check in the first minute? At Netflix we have a massive EC2 Linux cloud, and numerous performance analysis tools to monitor and investigate its performance. These include Atlas for cloud-wide monitoring, and Vector for on-demand instance analysis. While those tools help us solve most issues, we sometimes need to login to an instanc
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